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Regional integrated energy system energy management in an industrial park considering energy stepped utilization

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  • Zhu, Xu
  • Yang, Jun
  • Pan, Xueli
  • Li, Gaojunjie
  • Rao, Yingqing

Abstract

There are multiple energy demands in industrial parks. The industrial park’s energy system includes a variety of energy sources and energy-consuming equipment, with diverse load types and high reliability requirements for power supplies. And the situation of low energy utilization rates, unreasonable energy structures, great peak-to-valley power differences and the environment pollution needs to be improved. The application of multi-energy complementary regional integrated energy systems (RIES) can improve the performance of the industrial parks. Considering reasonable correspondence between the energy supply and demand in RIES, this paper proposes an RIES energy management strategy based on energy stepped utilization to further minimize the daily cost and make full use of the energy. Additionally, the piecewise linear model of gas turbine is established considering a part load ratio. According to the grade demands, the heat loads are divided into high-grade, middle-grade and low-grade heat loads and the load models are respectively established. The scenario reduction method is used to obtain typical scenarios in order to describe the randomness of weather factors. Finally, the simulation analysis shows that the proposed energy management method for the RIES can arrange the combination of gas turbines and output of devices more flexibly, and a more economical scheduling plan can be provided by this method. The high-grade and middle-grade energy are not only supplied to corresponding loads, but also can be converted into low-grade energy. Additionally, the stability and energy efficiency of the system are improved with the application of this strategy.

Suggested Citation

  • Zhu, Xu & Yang, Jun & Pan, Xueli & Li, Gaojunjie & Rao, Yingqing, 2020. "Regional integrated energy system energy management in an industrial park considering energy stepped utilization," Energy, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:energy:v:201:y:2020:i:c:s0360544220306964
    DOI: 10.1016/j.energy.2020.117589
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    4. Jing, Rui & Li, Yubing & Wang, Meng & Chachuat, Benoit & Lin, Jianyi & Guo, Miao, 2021. "Coupling biogeochemical simulation and mathematical optimisation towards eco-industrial energy systems design," Applied Energy, Elsevier, vol. 290(C).
    5. Zhu, Dafeng & Yang, Bo & Ma, Chengbin & Wang, Zhaojian & Zhu, Shanying & Ma, Kai & Guan, Xinping, 2022. "Stochastic gradient-based fast distributed multi-energy management for an industrial park with temporally-coupled constraints," Applied Energy, Elsevier, vol. 317(C).
    6. Fan, Wei & Tan, Qingbo & Zhang, Amin & Ju, Liwei & Wang, Yuwei & Yin, Zhe & Li, Xudong, 2023. "A Bi-level optimization model of integrated energy system considering wind power uncertainty," Renewable Energy, Elsevier, vol. 202(C), pages 973-991.
    7. Wu, Di & Han, Zhonghe & Liu, Zhijian & Li, Peng & Ma, Fanfan & Zhang, Han & Yin, Yunxing & Yang, Xinyan, 2021. "Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system," Energy, Elsevier, vol. 217(C).
    8. Wei, Hongqian & Zhang, Youtong & Wang, Yongzhen & Hua, Weiqi & Jing, Rui & Zhou, Yue, 2022. "Planning integrated energy systems coupling V2G as a flexible storage," Energy, Elsevier, vol. 239(PB).
    9. Qiao, Yiyang & Hu, Fan & Xiong, Wen & Guo, Zihao & Zhou, Xiaoguang & Li, Yajun, 2023. "Multi-objective optimization of integrated energy system considering installation configuration," Energy, Elsevier, vol. 263(PC).
    10. Xingyun Yan & Lingyu Wang & Mingzhu Fang & Jie Hu, 2022. "How Can Industrial Parks Achieve Carbon Neutrality? Literature Review and Research Prospect Based on the CiteSpace Knowledge Map," Sustainability, MDPI, vol. 15(1), pages 1-29, December.
    11. Zhong, Junjie & Cao, Yijia & Li, Yong & Tan, Yi & Peng, Yanjian & Cao, Lihua & Zeng, Zilong, 2021. "Distributed modeling considering uncertainties for robust operation of integrated energy system," Energy, Elsevier, vol. 224(C).

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